ChatGPT SearchSep 12, 2026
eRAG — evaluates retrieval quality by measuring how much each retrieved document contributes to downstream RAG performance.
Data as of Oct 5, 2026Based on 39,700 AI responses
Reviewed by Dimitry Apollonsky ·
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eRAG is a package for evaluating retrieval-augmented generation systems that scores retrieval quality by using retrieved documents with a language model against downstream task ground-truth labels.
Hosted on GitHub
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Question: We are building a Retrieval-Augmented Generation (RAG) system. Who specializes in evaluating retrieval quality?
ChatGPT SearchSep 12, 2026
eRAG — evaluates retrieval quality by measuring how much each retrieved document contributes to downstream RAG performance.
Since Jul 5
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